From Tool to Team Member: A Second Set of Eyes for Polyp Detection
Authors: Dennis L. Shung
Journal: Annals of Internal Medicine (2023)

Editorials29 August 2023From Tool to Team Member: A Second Set of Eyes for Polyp DetectionDennis L. Shung, MD, MHS, PhDDennis L. Shung, MD, MHS, PhDYale University, New Haven, ConnecticutSearch for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M23-2022 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail And (Hera) set a watcher upon her (Io), great and strong Argus, who with four eyes looks every way. And the goddess stirred in him unwearying strength: sleep never fell upon his eyes; but he kept sure watch always.—Aegimius, Fragment #5AI should be thought of as an Alien Intelligence; it does not learn or reason in the same way we humans do.—Jasjeet SekhonIn the endoscopy suite, we are entering an era where computer algorithms are moving from tools to team members with a second set of unwearying eyes. A body of evidence suggests the same base convolutional neural ...References1. Hassan C, Spadaccini M, Mori Y, et al. Real-time computer-aided detection of colorectal neoplasia during colonoscopy: a systematic review and meta-analysis. Ann Intern Med. 29 August 2023. [Epub ahead of print]. doi:10.7326/M22-3678 LinkGoogle Scholar2. Mangas-Sanjuan C, de-Castro L, Cubiella J, et al. Role of artificial intelligence in colonoscopy detection of advanced neoplasias: a randomized trial. Ann Intern Med. 29 August 2023. [Epub ahead of print]. doi:10.7326/M22-2619 LinkGoogle Scholar3. Kaminski MF, Regula J, Kraszewska E, et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010;362:1795-803. [PMID: 20463339] doi:10.1056/NEJMoa0907667 CrossrefMedlineGoogle Scholar4. Brenner H, Hoffmeister M, Stegmaier C, et al. Risk of progression of advanced adenomas to colorectal cancer by age and sex: estimates based on 840,149 screening colonoscopies. Gut. 2007;56:1585-9. [PMID: 17591622] CrossrefMedlineGoogle Scholar5. Inadomi JM, Issaka RB, Green BB. What multilevel interventions do we need to increase the colorectal cancer screening rate to 80%. Clin Gastroenterol Hepatol. 2021;19:633-645. [PMID: 31887438] doi:10.1016/j.cgh.2019.12.016 CrossrefMedlineGoogle Scholar6. Areia M, Mori Y, Correale L, et al. Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study. Lancet Digit Health. 2022;4:e436-e444. [PMID: 35430151] doi:10.1016/S2589-7500(22)00042-5 CrossrefMedlineGoogle Scholar7. Ladabaum U, Shepard J, Weng Y, et al. Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial [Letter]. Gastroenterology. 2023;164:481-483.e6. [PMID: 36528131] doi:10.1053/j.gastro.2022.12.004 CrossrefMedlineGoogle Scholar8. Nehme F, Coronel E, Barringer DA, et al. Performance and attitudes toward real-time computer-aided polyp detection during colonoscopy in a large tertiary referral center in the United States. Gastrointest Endosc. 2023;98:100-109.e6. [PMID: 36801459] doi:10.1016/j.gie.2023.02.016 CrossrefMedlineGoogle Scholar9. Levy I, Bruckmayer L, Klang E, et al. Artificial intelligence-aided colonoscopy does not increase adenoma detection rate in routine clinical practice. Am J Gastroenterol. 2022;117:1871-1873. [PMID: 36001408] doi:10.14309/ajg.0000000000001970 CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: Dennis L. Shung, MD, MHS, PhDAffiliations: Yale University, New Haven, ConnecticutDisclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M23-2022.Corresponding Author: Dennis L. Shung, MD, MHS, PhD, Yale University, P.O. Box 208019, New Haven, CT 06520; e-mail, dennis.shung@yale.edu.This article was published at Annals.org on 29 August 2023. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoRole of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias Carolina Mangas-Sanjuan , Luisa de-Castro , Joaquín Cubiella , Pilar Díez-Redondo , Adolfo Suárez , María Pellisé , Nereida Fernández , Sara Zarraquiños , Henar Núñez-Rodríguez , Verónica Álvarez-García , Oswaldo Ortiz , Noelia Sala-Miquel , Pedro Zapater , and Rodrigo Jover , on behalf of CADILLAC study investigators* Metrics LatestKeywordsAdenomasAlgorithmsArtificial intelligenceCancer detection and diagnosisCancer preventionColonoscopyColorectal cancerNeural networks ePublished: 29 August 2023 Copyright & PermissionsCopyright © 2023 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...